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media-buyer

Analyze Meta Ads performance and creative fatigue using Hyros and Meta Graph API v21.0.

Updated May 22, 2026
Search Tags:#graph api#meta ads#creative fatigue#budget allocation#media buying#hyros#tracking audit
One-click install
npx skills add https://github.com/CAILLEAUEDUCATION/media-buyer-skill --skill media-buyer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: media-buyer
Source: https://github.com/CAILLEAUEDUCATION/media-buyer-skill/tree/main
Command: npx skills add https://github.com/CAILLEAUEDUCATION/media-buyer-skill --skill media-buyer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you analyze and improve Meta Ads performance by connecting creative performance, lead outcomes, and attribution data so you can decide what to scale, cut, or iterate—before spend goes to fatigue.

Core Features & Use Cases

  • Creative fatigue detection & creative iteration: compares 7d vs 14d vs 30d signals (CPL/CTR/CP-call) to recommend hook/body/format changes.
  • Meta Ads operational control via Graph API: pauses/activates ads, updates budgets at the adset level, and creates/modifies ads while enforcing required url_tags tracking.
  • Performance & tracking audit with Hyros/insights: pulls Hyros metrics and Meta insights, cross-checks active ads for missing url_tags, and flags tracking issues.
  • Budget allocation & scaling strategy: recommends adset/campaign-level reallocations (including sequencing like “clean before scale”), with concrete next actions.

Quick Start

Use the media-buyer skill to audit my Meta Ads for the last 30 days, detect creative fatigue, and tell me exactly which ads/campaigns to scale, pause, or iterate, including the required url_tags check.

Frequently Asked Questions about media-buyer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect creative fatigue in my Meta Ads campaigns?▼

Detect Meta Ads creative fatigue by comparing 7-day, 14-day, and 30-day performance signals like CPL, CTR, and CP-call. Analyzing these metrics over time identifies declining performance, allowing you to recommend specific hook, body, or format changes before ad spend degrades.

What is the best way to allocate budgets across Meta Ads adsets?▼

Allocate Meta Ads budgets by analyzing performance outcomes and lead attribution data across campaigns. Use a sequencing strategy like 'clean before scale' to reallocate adset-level budgets, pausing underperforming ads and directing spend toward high-performing creatives.

How do I audit Meta Ads tracking using Hyros and Graph API?▼

Audit Meta Ads tracking by pulling metrics from Hyros and Meta Graph API v21.0, then cross-checking active ads for missing url_tags. This process flags tracking issues and enforces non-negotiable url_tags before creating or modifying any ads.

Can I automate pausing and activating Meta Ads through the Graph API?▼

Yes, you can automate operational control of Meta Ads via the Graph API. This includes pausing and activating ads, updating adset-level budgets, and creating new ads, provided you enforce required url_tags tracking during the process.

Why do I need url_tags tracking before scaling Meta Ads?▼

Url_tags tracking is non-negotiable for scaling Meta Ads because it ensures accurate attribution of lead and call outcomes. Verifying active ads for missing url_tags before creating or modifying ads prevents data blind spots and invalidates scaling decisions.

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